5th Digital Pathology & AI Congress: USA

When

2019年6月13-14日

Where

美国,纽约
Stewart Hotel

5th Digital Pathology & AI Congress: USA
-第5届数位病理学暨AI年会:美国大会-
日期:2019年6月13-14日
地点:美国,纽约,Stewart Hotel
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5th Digital Pathology & AI Congress: USA

藉由数位病理学及人工智慧(AI)的活用而进步的病理诊断及病患照顾的改善

Global Engage延续在数位病理学主题学会的成果、第5届Digital Pathology & Al Congress USA、2019年6月13日至14日将在美国纽约市举行。

美国近年来用于影像解析的AI等有望技术陆续受到开发,可将病理诊断数位化的Philips IntelliSite Pathology Solution获得FDA核可,数位病理学一炮而红。此外病理全切片影像分析、自动分析法、远距医疗咨商等领域也持续进化,病理诊断领域中,对新技术登场所带来的革命性变化之期待也随之高腾。

数位病理多样领域相关专家集结,本年会包含了利用AI与机械学习的数位影像处理技术、影像分析法的新进步、针对导入AI到病理诊断的措施进行50分钟双向意见沟通等时段,以数位病理的导入与实用化,以及成功实现工作流程的策略等主题单元也将在为期2日的会议期间登场。

2019年主要演讲者

> 演讲者名单

概要

  • 由药厂干部及主要研究人员发表30场以上的演讲。
  • 各种交流活动总时间将超过7小时。
  • 两场高阶干部的专题讨论。
  • 9场小组讨论。
  • 聚集众多数位病理领域的技术及解决方案供应商的展示会。
  • 海报发表及海报比赛。
Find out more

演讲者

2019年演讲者

小型会议

Pre-Conference Site Visit: Memorial Sloan Kettering Cancer Center Tour

When

2019年6月12日

Where

美国,纽约
Memorial Sloan Kettering Cancer Center

Memorial Sloan Kettering Cancer Center Site Visit

Wednesday 12th June 2019 - For Registered Participants Only

Numbers strictly limited. Available on a first come first served basis. Time slot for your site visit will be allocated at least two weeks before the event.

Tours will take place at:

09:00-10:30

11:00-12:30

14:00-15:30

Pre-conference workshop: Aiforia

When

2019年6月12日
5pm-9pm

Where

美国,纽约
Stewart Hotel

Demystifying Deep Learning AI and Digital Pathology:

Demystifying Deep Learning AI and Digital Pathology:

DEMOCRATIZING AI AND EMPOWERING THE PATHOLOGIST

Your one-stop workshop will help you to understand and deploy intelligent solutions with ‘Aiforia Create’ Deep Learning Pathology. With a hands on experience to ensure you are trained to achieve precise active annotations and understand how different annotation mistakes affect your results.

The hands-on part is run as a friendly competition and the lowest error rate walks away with a prize and bragging rights.

Takeaways

  • A road map for implementation of Deep Learning solutions for your Digital Pathology workflow.
  • A deep understanding for the importance of ‘high quality, not high quantity’ of training data.
  • Understand how to structure algorithms,
  • Train your own Deep Learning Neural Network, Live, On the Premises.

Join the discussion and share your thoughts and ideas with us and the invited guest speakers

3 TALKS

Thomas Westerling-Bui, Ph.D. , Senior Scientist, Aiforia Inc

Digital Pathology for drug development in the age of unlimited analysis design possibilities

Automated analysis can improve precision and recall, as well as reduce inter- and intra-operator differences. This leads to increased effect size and likelihood to get a measure of the true effect size of an experimental drug treatment.

Gillian Beamer, Assistant Professor, Tufts University

End user developed Deep Learning algorithms for the analysis of Lung granulomas in experimental tuberculosis.

Exploring the utility of domain expert driven Deep Learning algorithms to study Host Response to virulent M. tuberculosis including algorithms to delineate and segment granuloma and necrosis in hematoxylin and eosin (H&E) stained lung tissue from M. tuberculosis-infected Diversity Outbred mice.

  • Examples of user generated Deep Learning algorithms in pre-clinical research models.
  • Paths to algorithm validation
  • Path to deploying Create for yourself or your team

Peter Westcott, Postdoctoral fellow, Koch Institute for Integrative Cancer Research

Deep neural network for automatic histopathological analysis and grading of murine lung tumors

A demonstration that deep neural networks can be used for automated analysis and grading of preclinical models of lung cancer and an exploration of how this powerful technology has the potential to increase the throughput, sensitivity and reproducibility of hypothesis-driven studies of factors influencing tumor progression and immune response in mouse models of lung cancer.

  • What happens when an entire lab at MIT uses one unifying digital pathology algorithm instead of multiple individual human operators.
  • Development of a tumor grading algorithm that is robust against known usual tissue artefacts.
  • Paths to Algorithm Validation

Pre-conference workshop: Akoya Biosciences

When

2019年6月12日
12pm-4pm

Where

美国,纽约
Stewart Hotel

Pre-conference workshop: Sponsored by Akoya Biosciences

Sponsored by: Akoya Biosciences

Date: Wednesday June 12th 2019

Time: 12pm-4pm

More details to be announced

https://www.akoyabio.com/

议程

集结了数位病理多样领域专家的本年会,预定了数位影像分析领域中AI的使用及3D影像解析等影像分析主题环节,以及聚焦于数位病理导入实务与个案研究介绍的环节,都将在为期2日的会议期间登场。

Digital Pathology & Al Congress在欧洲、美国、亚洲皆有举办的年会活动,聚集来自59个国家超过2500位病理学专家。

2019年重点

为了回应过去与会者的要求,本届年会新增了针对医疗从业人员的AI介绍工作坊。本工作坊可让与会者深入了解AI及其在病理诊断方面的应用潜力与现状,由Rutgers-NJMS生物物理学病理诊断中心第一任所长兼宾州大学病理学名誉教授Stanley Cohen主持进行。

Download the Agenda (PDF)

赞助商

2019年赞助商

赞助商名单

地点

Stewart Hotel

371 7th Ave, New York, NY 10001, USA

海报发表

海报发表不仅在休息时间进行,也会与分科会讨论同时进行。所有药厂或研究机构的研究人员所制作的海报,都必须在获得学会事务局许可后张贴于会场内指定区域。

此外,学会闭幕后,将发给所有出席者汇集海报发表大纲的电子书,亦可将海报以.pdf形式的档案公开(仅限意者)。

海报发表对于寻求出资和雇用机会的人,以及希望在志同道合、研究同一题目的研究者团体中发表成果的人来说,是能够在会场内广受矚目的珍贵机会。

必须报名参加本年会方可进行海报发表。张贴海报的空间有限,将依报名顺序接受通过审查者张贴海报,故建议尽早申请。

海报发表比赛申请期限至:5月10日

  1. 请于报名期限内申请报名(每人仅限一件)。
  2. 经审查后在全体共同举行的会议之中选出2位优胜者。
  3. 海报比赛的优胜者可在主要研讨会中发表15分钟的演讲。优胜者将事前获得通知。
  4. 评审将根据海报摘要进行评选。
  5. 优胜者将由主办单位颁发奖状。
  6. 本年会以英语进行。
  7. 隶属于解决方案供应商者,虽无法参与报名比赛,但仍可在会场内发表海报。

海报发表报名办法

请填写专用表格(点击下列连结下载)于2019年5月10日以前缴交。若只想发表海报而无意参加比赛,则报名期限为5月24日。若于截止日期前额满将提早截止报名,敬请尽早申请。详情欢迎与我们联系。

赞助商

2019年 赞助商

上届会议回响

Perfect talks

I liked the program and the speakers. The length of the talks and amount of material was perfect. I liked the mix of biotech, company and academic speakers. I also liked the collegial and friendly atmosphere during the meeting.

Beatrice Knudsen

Professor, Biomedical Sciences and Pathology and Laboratory Medicine, Director, Translational Pathology, Cedars Sinai Medical Center

Engaging speakers

There was a wide range of speakers, perfect amount of time per topic and good mix of short and long sessions. The speakers were engaging and truly spoke to audience across pretty diverse fields.

Erin Brannick

Assistant Professor, Director of Comparative Pathology Laboratory, Department of Animal & Food Sciences, University of Delaware, USA

Great mix

There was varying lecture content - a mixture of technical and research, and the inclusion of a FDA spokesperson to clarify some of the issues.

Kathleen Whitney

Attending Pathologist, Montefiore Medical Center, USA

Excellent opportunity

I liked the mix of image scientists, pathologists and companies. It was an excellent opportunity to meet a diverse group in digital pathology.

Lenore McMackin

President & CTO at InView Technology Corporation, USA

赞助商募集

藉由成为本年会的赞助商或参展者,可在融洽的气氛中,与各组织的代表于各种正式、非正式的场合进行会谈,建立合作关系的机会。

本年会准备了各种赞助方案,丰富的选项可配合您的业务需求自由搭配,以获取最大额度的投资报酬。

欲采其他方式赞助本学会者,或考虑进行方案规画者,欢迎随时与本会洽询。本会将提出合乎个别需求的服务建议。

可事先预约的20分钟个别会谈时段

赞助商与参展者可以事先预约在主要研讨会的分科会会议中排定的20分钟个别会谈时段,与希望的对象见面。会期中,Global Engage团队会常驻会场,协助会谈按时进行。

年会前后的研讨会

可在年会前后以对特定主题感到兴趣者为对象,举办为期半天或全天的工作坊活动。Global Engage将协助宣传以确保工作坊达到足够的出席人数。

年会开幕前的行销与宣传

利用Global Engage的资料库展开行销活动,透过海报张贴、休息与午餐会、酒会、赞助海报发表等提高品牌知名度。另备有追加项目可将贵公司的logo印制在发放给与会者的名牌吊绳与年会资料包上。

参展

会议期间设有专用的展示区域,可向所有的与会者展示您的技术与产品。展示区域将设于休息及午餐会,以及第一天晚上的欢迎酒会的举办场所。

演讲

发言的型态

  • 30分钟演讲
  • 在30分钟专题讨论中担任主持人或讨论人员
  • 在年会议程中举行一小时的研讨会
募集赞助商

欢迎来信或来电与日商环球讯息有限公司台灣分公司联系。

包括签证等各种海关所需文件,以及展示用品的通关手续皆由展商企业各自负责。

展示相关的安排(企业介绍、公司商标、提供与会者目录中的展商资讯登录、展示空间的装潢、用品订购、展示用品的摆设搬运、展示空间的文件申请、保险等)请直接与主办方连系。

旅游相关疑问(住宿、机票)、当地翻译人员、飞行与意外保险等问题,将有另外的专门业者分别提供服务。

关于Digital Pathology & Al Congress: USA的赞助商详情,请洽本公司。

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